Welcome to Earthquake Explorer, an interactive data analysis project that explores earthquake data from around the world. In this project, we delve into the fascinating world of seismic events, conducting in-depth exploratory data analysis, visualizing earthquake patterns, and even applying machine learning to predict future earthquakes.

🌍 Geospatial Analysis: Explore earthquake occurrences on an interactive map, pinpointing regions of interest and risk areas.

📊 Data Insights: Dive into detailed data analysis, uncovering trends and patterns in earthquake data.

🔮 Machine Learning: Utilize machine learning techniques to predict future earthquakes and assess seismic risk.

📈 Visualizations: Gain insights through rich visualizations, including heatmaps, scatter plots, and more.

1. Clone the Repository: Start by cloning this repository to your local machine.

2. Set Up Environment: Create a virtual environment and install the required dependencies using requirements.txt.

3. Explore the Notebooks: Dive into the Jupyter notebooks provided in the notebooks directory for detailed data analysis and machine learning models.

4. Contribute: Feel free to contribute to this open-source project. Your ideas and enhancements are welcome!

Explore the interactive earthquake map here.

Check out our earthquake prediction model here.

• Earthquake data is sourced from Kaggle.

  🌍 Explore Earthquake Explorer!

Check out this amazing project that delves into earthquake data analysis, visualization, and prediction. Discover earthquake patterns, explore interactive maps, and learn about seismic risk assessment. Let's make the world a safer place together!

🔮 Predict future earthquakes! 📊 Visualize seismic data! 🌏 Explore earthquake-prone regions!

This project is licensed under the MIT License - see the LICENSE.md file for details.

Feel free to explore, learn, and contribute to Earthquake Explorer. Let's make the world a safer place together!